Sentence examples for through regularized from inspiring English sources

Multi-mechanism linear models were constructed through regularized logistic regression (lasso regularization) using the glmnet R package [ 22].

Conflict was present; however, a more important but often ignored factor were the relations of mutual dependency, through regularized exchanges and transactions.

Then, the saturation and intensity components which are easily affected by brightness are regularized through shifting and scaling operations.

The classification scores are then regularized through a conditional random field model, taking into account the temporal relationship between the video frames.

I do disagree with the current "twilight zone," under which "millions of people are de facto accepted as residents while de jure being illegally here," and argue that the status of those we want to have remain be regularized through an amnesty so that we can keep track of those aliens who are truly here illegally.

The development of shocks in nonlinear hyperbolic conservation laws may be regularized through either diffusion or relaxation.

We demonstrate a principled approach, LASSO local automatic regularization resample model averaging (LLARRMA), that characterizes sensitivity of locus choice to sampling variability and uncertainty due to missing genotype data, and that provides LASSO shrinkage automatically regularized through either predictive- or discovery-based criteria.

The critical relationship between the imperial authority and the zamindars was regularized and generally institutionalized through thousands of sanads (patents) issued by the emperor and his agents.

This signal-noise ratio is inversely proportional to the singular values, as is clearly shown by the expression: d i s i = b i + s i − 1 ε ˜ i (7 The least squares estimator of b i can be computed from expression (7) as b i ∗ = d i s i and serves as a basis for regularizing estimation through truncation or weighting.

This was achieved by low-dimensional subspace tracking through the minimization of a weighted least squares regression, regularized with a nuclear norm.

These feature vectors are then fed into an LDA-style booster, where several regularized and weakened LDA learners work together to produce a strong learner through a novel feature weighting and sampling process.